Određivanje patogenih vrsta iz RNA sekvenciranih podataka

master's thesis

• Title (english): Identify pathogen organisms from a stream of RNA sequences
• Author: Matija Šošić
• Mentor: Mile Šikić (mentor)
• Committee member: Mile Šikić (predsjednik povjerenstva)
• Committee member: Mladen Vučić (član povjerenstva)
• Committee member: Damir Seršić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Metagenomika je zanimljivo novo znanstveno područje čiji je zadatak karakterizacija mikroskopskih zajednica živih organizama. Posebna važnost je u tome što većina mikroorganizama ne može biti uzgojena u laboratoriju, stoga nam metagenomika otkriva mnoge nepoznate vrste. Ovaj rad predstavlja taksonomski ovisnu i na poravnanju sekvenci na referentni genom temeljenu metodu za određivanje
vrsta prisutnih u danom metagenomskom uzorku. Pristup se temelji na identifikaciji i analizi ribosomskih... More kodirajućih sekvenci za koje se smatra da su indikatori prisutnih vrsta. Rješenje radi s RNA sekvenciranim podacima i testirano je na stvarnom uzorku iz prirodnog okruženja. Less

Abstract (english)

Metagenomics is an interesting new field of science focused on characterization of microbial communities from environmental samples. It is especially important as many organisms cannot be cultivated in a laboratory and therefore can reveal previously unknown species. This thesis presents a taxonomy-dependent and alignment-based method for determining species present in a given metagenomic sample. Main premise is identification and analysis of ribosomal coding sequences which are... More considered to be indicators of presence of organisms. The solution works with RNA-seq data and is tested on a real dataset from an environmental sample. Less

• Keywords: metagenomika; bioinformatika; RNA sekvenciranje
• Keywords (english): metagenomics; bioinformatics; RNA-Seq
• Language: english
• URN:NBN: urn:nbn:hr:168:613464
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 12:21:50